Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

Over recent decades, research has increasingly supported the notion that specific patterns of eye movements can modulate memory retrieval processes. In particular, bilateral saccadic eye movements are ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Algolia, the AI Search and Retrieval platform trusted by more than 18,000 businesses and millions of developers worldwide, today released six predictions for 2026, based on aggregated insights from ...

Sometimes, we search for information in long-term memory and find it—a name, a movie title, or a vivid example to support a general conclusion. Other times, we're unable to recall what we believe we ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...

A. Overview of hippocampal dynamics during movie watching. FMRI data from the hippocampus were measured at the voxel level, and low-dimensional subspaces for two types of novelty and memorability were ...

The average human brain weighs about 3 pounds and contains 80 to 100 billion neurons, which are the cells that store information. But how do these cells store information? How do we retrieve that ...